Online recursive estimation of remaining life using ultrasonic measurements

Dheeraj S. Singh; Shalabh Gupta; Asok Ray

doi:10.1177/1475921711432003

Online recursive estimation of remaining life using ultrasonic measurements

Dheeraj S. Singh, Shalabh Gupta, Asok Ray

Mechanical Engineering

Research output: Contribution to journal › Article › peer-review

7 Scopus citations

Abstract

This article addresses diagnosis and prognosis of evolving fatigue crack damage in polycrystalline alloy structures. It presents a statistically inspired recursive method for in situ estimation of the remaining useful life in machinery components, based on real-time measurements. The underlying algorithm is built upon (a) symbolic dynamic filtering of (online) ultrasonic sensor data and (b) Karhunen-Loève decomposition of optical measurements for (off-line) construction of a stochastic model of fatigue crack propagation. The proposed method has been experimentally validated on a computer-instrumented and computer-controlled fatigue test apparatus for estimation of crack damage and prediction of the remaining useful life in test specimens, made of 7075-T6 aluminum alloys.

Original language	English (US)
Pages (from-to)	413-421
Number of pages	9
Journal	Structural Health Monitoring
Volume	11
Issue number	4
DOIs	https://doi.org/10.1177/1475921711432003
State	Published - Jul 2012

All Science Journal Classification (ASJC) codes

Biophysics
Mechanical Engineering

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10.1177/1475921711432003

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abstract = "This article addresses diagnosis and prognosis of evolving fatigue crack damage in polycrystalline alloy structures. It presents a statistically inspired recursive method for in situ estimation of the remaining useful life in machinery components, based on real-time measurements. The underlying algorithm is built upon (a) symbolic dynamic filtering of (online) ultrasonic sensor data and (b) Karhunen-Lo{\`e}ve decomposition of optical measurements for (off-line) construction of a stochastic model of fatigue crack propagation. The proposed method has been experimentally validated on a computer-instrumented and computer-controlled fatigue test apparatus for estimation of crack damage and prediction of the remaining useful life in test specimens, made of 7075-T6 aluminum alloys.",

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AB - This article addresses diagnosis and prognosis of evolving fatigue crack damage in polycrystalline alloy structures. It presents a statistically inspired recursive method for in situ estimation of the remaining useful life in machinery components, based on real-time measurements. The underlying algorithm is built upon (a) symbolic dynamic filtering of (online) ultrasonic sensor data and (b) Karhunen-Loève decomposition of optical measurements for (off-line) construction of a stochastic model of fatigue crack propagation. The proposed method has been experimentally validated on a computer-instrumented and computer-controlled fatigue test apparatus for estimation of crack damage and prediction of the remaining useful life in test specimens, made of 7075-T6 aluminum alloys.

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Online recursive estimation of remaining life using ultrasonic measurements

Abstract

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